I am a post-doctoral researcher with Mark van der Laan at the University of California, Berkeley. I study how modern machine learning can be used to draw interpretable, reproducible, and robust statistical inference. I work with the Bill and Melinda Gates Foundation with the HBGD knowledge iniative. Please visit my research page to learn more.
